At its core, the LEGO MINDSTORMS(TM) NXT product provides a programmable microprocessor. …
At its core, the LEGO MINDSTORMS(TM) NXT product provides a programmable microprocessor. Students use the NXT processor to simulate an experiment involving thousands of uniformly random points placed within a unit square. Using the underlying geometry of the experimental model, as well as the geometric definition of the constant π (pi), students form an empirical ratio of areas to estimate a numerical value of π. Although typically used for numerical integration of irregular shapes, in this activity, students use a Monte Carlo simulation to estimate a common but rather complex analytical form the numerical value of the most famous irrational number, π.
The purpose of this lesson is to apply what was learned about …
The purpose of this lesson is to apply what was learned about calculating the probability of independent events.
Included is a YouTube video to support Grade 8 Blended Learning Math - Unit 7.4: Data Analysis and Probability - Solving Problems Involving Independent Events.
This document map is meant for students to use and interact with …
This document map is meant for students to use and interact with as they move through their ELA courses. It enables them to keep track of the outcomes as they meet them on their personalized journey through the courses
This document map is meant for students to use and interact with …
This document map is meant for students to use and interact with as they move through their ELA courses. It enables them to keep track of the outcomes as they meet them on their personalized journey through the courses.
Students learn about probability through a LEGO® MINDSTORMS® NTX-based activity that simulates …
Students learn about probability through a LEGO® MINDSTORMS® NTX-based activity that simulates a game of "rock-paper-scissors." The LEGO robot mimics the outcome of random game scenarios in order to help students gain a better understanding of events that follow real-life random phenomenon, such as bridge failures, weather forecasts and automobile accidents. Students learn to connect keywords such as certainty, probable, unlikely and impossibility to real-world engineering applications.
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